SOTAVerified

Reinforcement Learning (RL)

Reinforcement Learning (RL) involves training an agent to take actions in an environment to maximize a cumulative reward signal. The agent interacts with the environment and learns by receiving feedback in the form of rewards or punishments for its actions. The goal of reinforcement learning is to find the optimal policy or decision-making strategy that maximizes the long-term reward.

Papers

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Showing 3751–3775 of 15113 papers

TitleStatusHype
Deep Decentralized Reinforcement Learning for Cooperative Control—0
Discovering Options for Exploration by Minimizing Cover Time—0
Deep Reinforcement Learning for Unmanned Aerial Vehicle-Assisted Vehicular Networks—0
Auxiliary Reward Generation with Transition Distance Representation Learning—0
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning—0
Accelerating Stochastic Composition Optimization—0
Deep Reinforcement Learning for Visual Object Tracking in Videos—0
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike—0
Corruption-Robust Offline Reinforcement Learning—0
Corruption-robust exploration in episodic reinforcement learning—0
A stabilizing reinforcement learning approach for sampled systems with partially unknown models—0
Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations—0
Automated Video Game Testing Using Synthetic and Human-Like Agents—0
A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting—0
Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning—0
Deep Reinforcement Learning from Policy-Dependent Human Feedback—0
Deep Reinforcement Learning From Raw Pixels in Doom—0
Discrete Predictive Representation for Long-horizon Planning—0
Deep reinforcement learning guided graph neural networks for brain network analysis—0
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes—0
Deep Reinforcement Learning in a Monetary Model—0
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey—0
Average Cost Optimal Control of Stochastic Systems Using Reinforcement Learning—0
Deep Reinforcement Learning in Cryptocurrency Market Making—0
Correlation Priors for Reinforcement Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PPGMean Normalized Performance0.76—Unverified
2PPOMean Normalized Performance0.58—Unverified